Comparative Study of the Nutritional Value of Four Types of Egyptian Palm Pollens
Bibliographic record
Abstract
Pollen grains are good sources of vitamins, minerals and amino acids with a high nutritional value that can be used as human food supplement. Date palm pollens are used in the Middle East especially Egypt in herbal mixtures as a folk medicine remedy for curing male infertility and promoting fertility in women .The raw materials purchased from the market are found to be a mixture of several palm pollens. The main objective of this study was to determine the nutritional value of four local Egyptian date pollen grains {Amhat(A), Hiani(H), Sewy(S)& Zaghlol(Z)} by microscopical and chemical means. These differences could determine the quality of separate pollen grains and show to what extent they affect the quality of the natural products manufactured from them? Each of the pollen samples were treated identically: collected from locations of similar clay loamy soils, in March 2011 at an early time of the day, subjected to electron microscope examination and chemical analysis of trace elements, amino acids & vitamins. The results showed that there are clear differences in the quality of the four Egyptian palm pollens which could be distinguished microscopically and chemically by the percentage of the trace elements, amino acids & vitamins.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".